adams.data.weka.predictions
Class NamedSetup

java.lang.Object
  adams.core.ConsoleObject
      adams.core.option.AbstractOptionHandler
          adams.data.weka.predictions.AbstractErrorScaler
              adams.data.weka.predictions.NamedSetup

All Implemented Interfaces:

Debuggable, Destroyable, OptionHandler, SizeOfHandler, Serializable, weka.core.CapabilitiesHandler

public class NamedSetup
extends AbstractErrorScaler

Applies a scaler that is referenced via its global setup name (see 'NamedSetups').

Valid options are:

-D <int> (property: debugLevel)
    The greater the number the more additional info the scheme may output to
    the console (0 = off).
    default: 0
    minimum: 0
 

-setup <java.lang.String> (property: setup)
    The name of the setup to use.
    default: name_of_setup
 

Version:

$Revision: 4584 $

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

protected AbstractErrorScaler	m_ActualScheme the actual scheme.
protected NamedSetup	m_Setup the name of the setup to load.

Fields inherited from class adams.core.option.AbstractOptionHandler

m_DebugLevel, m_OptionManager

Constructor Summary

NamedSetup()

Method Summary

void	defineOptions() Adds options to the internal list of options.
protected AbstractErrorScaler	getActualScheme() Returns the named setup.
weka.core.Capabilities	getCapabilities() Returns the capabilities of this object.
NamedSetup	getSetup() Returns the setup name.
String	globalInfo() Returns a string describing the object.
void	reset() Resets the filter.
ArrayList	scale(ArrayList data) Scales the errors.
void	setSetup(NamedSetup value) Sets the setup name.
String	setupTipText() Returns the tip text for this property.

Methods inherited from class adams.data.weka.predictions.AbstractErrorScaler

compareTo, equals, forCommandLine, forName, getErrorScalers, shallowCopy, shallowCopy, toString

Methods inherited from class adams.core.option.AbstractOptionHandler

cleanUpOptions, debug, debug, debugLevelTipText, destroy, finishInit, getDebugLevel, getOptionManager, initialize, isDebugOn, newOptionManager, setDebugLevel, toCommandLine

Methods inherited from class adams.core.ConsoleObject

getDebugging, getSystemErr, getSystemOut, sizeOf

Methods inherited from class java.lang.Object

clone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

m_Setup

protected NamedSetup m_Setup

the name of the setup to load.

m_ActualScheme

protected AbstractErrorScaler m_ActualScheme

the actual scheme.

Constructor Detail

NamedSetup

public NamedSetup()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Specified by:

globalInfo in class AbstractOptionHandler

Returns:

a description suitable for displaying in the gui

defineOptions

public void defineOptions()

Adds options to the internal list of options.

Specified by:

defineOptions in interface OptionHandler

Overrides:

defineOptions in class AbstractOptionHandler

reset

public void reset()

Resets the filter.

Overrides:

reset in class AbstractOptionHandler

setSetup

public void setSetup(NamedSetup value)

Sets the setup name.

Parameters:

value - the name

getSetup

public NamedSetup getSetup()

Returns the setup name.

Returns:

the name

setupTipText

public String setupTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the gui

getActualScheme

protected AbstractErrorScaler getActualScheme()

Returns the named setup.

Returns:

the actual scheme to use

getCapabilities

public weka.core.Capabilities getCapabilities()

Returns the capabilities of this object. Returns what types of classes the scaler can handle.

Specified by:

getCapabilities in interface weka.core.CapabilitiesHandler

Specified by:

getCapabilities in class AbstractErrorScaler

Returns:

the capabilities of this object

See Also:

Capabilities

scale

public ArrayList scale(ArrayList data)

Scales the errors.

Specified by:

scale in class AbstractErrorScaler

Parameters:

data - the data containing the errors to scale

Returns:

the scaled errors